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Machine Learning with Text in Python

In this self-paced course, you'll learn how to build effective Machine Learning models using text-based data to solve your own data science problems.

Course includes:

  • 14 hours of high-quality instructional videos
  • Well-commented lesson notebooks in Jupyter format (also available as Python scripts)
  • Substantial homework assignments (with provided solutions) to help you practice everything you're learning
  • Access to a Slack team where you can collaborate with other students
  • A list of readings and videos to help prepare you for each class
  • Links to 100+ carefully selected resources to deepen your understanding of course topics
  • Money-back guarantee (within 30 days of purchase)

You will receive lifetime access to the course. View the complete course information and FAQs.

Comments from past students:

"The course was a perfect introduction to Machine Learning with text, and I was able to apply topics covered during the first week to my work. Kevin does a great job of breaking down complex topics and providing a practical, real-world context for them."

"Kevin is an extremely knowledgeable teacher who cares about his students and puts a ton of preparation into his courses and materials. Kevin's approach to teaching data science is logical, well-structured and accessible. I highly recommend this course."

"If I had paid a lot more for this class, it would still have been worth it. After taking a lot of other online courses, I feel like I'm finally getting valuable skills, tools and info I can use and financially benefit from."

"I've taken a couple of courses with Kevin and recommend him highly. He does a great job of making the complex simple, and it's amazing how much you learn in just a few weeks. The best course on Machine Learning I've taken so far!"

Read more student comments

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Machine Learning with Text in Python

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